Search Engineer

🕒 Abril 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $87.100 - $157.450 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📈 Marketing de SEO

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Leidos

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1969

🔒 Cibersegurança

🔬 Ciência

Defense • Cybersecurity • Science

A Leidos é uma integradora líder em ciência, tecnologia e engenharia, fornecendo soluções que transformam e viabilizam as missões de seus clientes. A empresa atua em diversos mercados, incluindo aviação, defesa, energia, governo, saúde, inteligência, ciência e espaço. A Leidos está envolvida em IA, modernização digital, operações cibernéticas e sistemas de software integrados e de missão. Com um compromisso com diversidade, equidade, inclusão e sustentabilidade, a Leidos também se engaja em esforços beneficentes e programas de enriquecimento comunitário. Além disso, contribui para o desenvolvimento de soluções para sistemas contra veículos aéreos não tripulados e infraestrutura de veículos elétricos para aplicações militares.

Descrição

• Maintain, support, and enhance enterprise search applications and indexing pipelines running on Solr, Spark, Flume, AWS OpenSearch, and Linux-based infrastructure. • Perform operations and maintenance activities including patching, vulnerability management, system administration, monitoring, configuration management, and routine platform support. • Troubleshoot and resolve indexing failures, data issues, query syntax problems, relevance issues, and search performance degradation. • Monitor indexing jobs and platform health to ensure indexing SLAs and search/retrieval SLAs are consistently met. • Fine-tune search configurations, analyzers, synonyms, ranking logic, and index structures to optimize search relevance, indexing throughput, and retrieval performance. • Perform scheduled maintenance activities including weekly, monthly, and biannual data purges, index cleanup, retention-related tasks, and storage optimization. • Support quarterly bulk indexing operations, including large-scale reloads, synonym refreshes, name normalization, and post-load validation. • Work with source data stored in Microsoft SQL Server to investigate ingestion issues, validate upstream data quality, analyze indexing results, and review operational or search-related metrics captured after indexing. • Use SQL to query source and operational data, investigate discrepancies, support troubleshooting, and validate indexing outcomes and SLA-related metrics. • Use Azure Log Analytics and related monitoring tools to analyze logs, investigate failures, identify operational trends, and support root cause analysis for indexing, search, and data-processing issues. • Maintain awareness of Java-based source-to-target data comparison and validation tools, review their findings regularly, and address data quality, synchronization, and accuracy issues between source systems and indexed search platforms. • Investigate and resolve data ingestion, transformation, indexing, and retrieval issues across upstream and downstream systems. • Build and improve automation, scripts, and support tooling that increases reliability, reduce operational overhead, and improve observability. • Support modernization of legacy search capabilities toward AWS OpenSearch, semantic search, vector search, hybrid retrieval, and RAG-enabled solutions. • Document procedures, runbooks, support processes, recurring maintenance activities, and operational findings, and collaborate with cross-functional teams to improve search quality and system stability.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience. • 5+ years of experience in software engineering, enterprise search, search platform support, information retrieval, or large-scale data systems. • Hands-on experience supporting and enhancing enterprise search platforms such as Apache Solr, OpenSearch, Elasticsearch, Lucene, or similar technologies. • Experience working in Linux production environments, including troubleshooting, configuration updates, and routine system support. • Strong experience with indexing, schema design, mappings, analyzers, query processing, search relevance tuning, and performance optimization. • Experience supporting batch or large-scale data ingestion and processing pipelines using Spark and related technologies. • Strong programming skills in Java and/or Python. • Working knowledge of Microsoft SQL Server, including the ability to query source data, validate data flows, investigate discrepancies, and analyze indexing or operational metrics. • Experience using log monitoring and observability tools to investigate failures and support operational troubleshooting; exposure to Azure Log Analytics strongly preferred. • Experience troubleshooting distributed systems, indexing pipelines, data synchronization issues, and production search clusters. • Experience supporting SLA-driven operational environments with accountability for service restoration, recurring maintenance, and issue resolution. • Ability to understand and work with validation, comparison, and support tools used to verify data accuracy between source and target systems. • Strong analytical, troubleshooting, and problem-solving skills. • Strong written and verbal communication skills, including the ability to work across engineering, operations, and stakeholder teams. • Work in US eastern time zone, and available to travel to Washington, DC area once a year. • Ability to clear Public Trust Clearance.

🏖️ Benefícios

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement